جستجوی استاد راهنمای دانشگاهی

• Embedded Machine Learning
• Neural Architecture Search
• Signal Processing
• +۴ مورد دیگر

Christopher Ringhofer serves as a Researcher and PhD candidate at the Intelligent Embedded Systems department within the Faculty of Engineering and Computer Science at the University of Duisburg-Essen since April 2020. His work focuses on developing energy-efficient AI solutions for embedded platforms with current projects funded by the German Federal Ministry of Education and Research. He earned his BSc in Applied Informatics (2017) and MSc in Distributed Dependable Systems (2020) from the same institution, following three years of industry experience in IoT development at ithinx GmbH. His doctoral research centers on automated neural architecture search for signal processing on constrained devices. Ringhofer's research explores evolutionary algorithms for constructing latency-optimized neural networks targeting microcontrollers and embedded FPGAs, with primary applications in digital audio processing for studio/live environments. His work bridges hardware constraints with deep learning requirements through techniques like precomputed convolutional layers and hardware-aware NAS. He actively contributes to academic instruction through the Bachelor's course 'Embedded Systems' and specialized student projects on 'AI-based Neurosignal Processing', maintaining consistent teaching involvement since Winter Semester 2020/21. Current research projects include 'TransfAIr: Transfer Approaches for Artificial Intelligence in Industry' (since May 2024) and previous work on 'LUTNet' and 'KI-LiveS' initiatives. His technical contributions focus on the IoT Garage infrastructure and Elastic AI ecosystem development for pervasive computing environments.

• Embedded Systems
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Tianheng Ling is a Researcher at the Department of Embedded Systems, University of Duisburg-Essen, specializing in embedded machine learning and FPGA acceleration for environmental applications since November 2022. Her primary focus is the RIWWER project, which reduces environmental impact from untreated wastewater through optimized embedded algorithms. Her educational background includes: Bachelor of Information Management and Information Systems from the University of Duisburg-Essen Master of Applied Cognitive and Media Science with a focus on Artificial Intelligence from the University of Duisburg-Essen, where her thesis explored quantized neural networks for time-series prediction Her research centers on deploying energy-efficient deep learning models on resource-constrained embedded systems, emphasizing quantization techniques, real-time performance, and FPGA acceleration. Key application areas include wastewater flow estimation and environmental monitoring, with technical expertise spanning LSTM/Transformer optimization, soft sensor development, and configuration-aware power management. Analysis of her 12 publications (2023-2025) reveals consistent innovation in embedded AI for environmental systems, particularly fluid flow estimation. Recurring themes include quantization-aware training, energy-efficient neural network acceleration on FPGAs, and real-time time-series forecasting, demonstrating a clear trajectory toward deployable AIoT solutions for sustainability challenges. No scientific awards are documented in the source materials. No information is available regarding student advising or research grant management. She actively contributes to the Intelligent Embedded Systems research group through projects including RIWWER (wastewater management), Elastic AI (energy-efficient deep learning accelerators), and the IoT Garage initiative, focusing on practical embedded AI implementations for pervasive computing environments.

Ulrike Luckeمشاهده پروفایل

استاد

• Computer Science
• E-Learning
• Multimedia Systems
• +۴ مورد دیگر

Prof. Ulrike Lucke is a Professor of Complex Multimedia Application Architectures at the University of Potsdam's Department of Computer Science. She holds a Dr.-Ing. habil. and has extensive roles including Vice Dean of the Faculty of Mathematics and Natural Sciences, Chief Information Officer (2010–2018), and Vice President of the German Informatics Society (2020–2024). Her research focuses on interoperability in heterogeneous environments, mobile/pervasive applications, and e-learning infrastructures. Notable projects include the Pervasive University concept and contributions to XML-based educational tools. Awards include multiple Brandenburg Teaching Awards and a Fellowship from the Society for Media in Science. She has led numerous national and international projects, including roles in the Konrad Zuse Society and CATALPA Research Centre advisory boards.

Christian Krupitzerمشاهده پروفایل

استاد

• Self-aware Computing Systems
• Self-adaptive Systems
• Autonomic Computing
• +۱۲ مورد دیگر

Christian Krupitzer is a Tenure Track Professor at the Department of Food Informatics, University of Hohenheim since October 2020. Previously, he served as a post-doctoral research group leader at the Chair of Software Engineering (Informatik II) at the University of Würzburg (2018–2020) and completed his doctoral research at the Chair of Information Systems II (University of Mannheim, 2012–2018). He holds a Master of Business Informatics from the University of Mannheim and an Erasmus stay at Vrije Universiteit Amsterdam. His research focuses on Self-aware Computing Systems, Autonomic Computing, IoT, and Cyber-physical Systems, with applications in Industry 4.0 and Intelligent Transportation Systems. He has organized multiple conferences and workshops, including the International Workshop on Self-aware Computing Systems (SeAC) and the Organic Computing Doctoral Dissertation Colloquium. His teaching roles include co-lecturing on 'Self-aware Computing Systems' and 'Advanced Programming' at the University of Würzburg. He has supervised several theses, including works on multirotor formations and platooning coordination. Notable awards include DAAD grants and Best Paper nominations. His contributions span academic leadership, with roles such as Steering Committee Secretary for the International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) and IEEE membership. Research highlights include frameworks for self-adaptive systems and infrastructure-aided platooning management in autonomous vehicles.

Marion Koelleمشاهده پروفایل

استاد

• Human-Computer Interaction
• Wearable Technology
• Embedded and Embodied Systems
• +۴ مورد دیگر

Dr. Marion Koelle is a Professor of Human-Computer Interaction at Hochschule RheinMain's Department of Design, Computer Science and Media in Wiesbaden, Germany. Previously, she led the Personal Pervasive Computing Group at OFFIS - Institute for Information Technology (2022-2025), was a Post-Doc at Saarland University, and held research positions at the University of Duisburg-Essen and Carl von Ossietzky University Oldenburg. PhD in Media Informatics (summa cum laude, University of Oldenburg 2019) M.Sc. in Media Informatics (LMU Munich 2013) B.Sc. in Media Informatics (LMU Munich 2010) Her research focuses on designing sustainable, ethical, and socially acceptable wearable/embodied technologies , with particular emphasis on: Co-designing technologies with diverse audiences Interactive bioplastics and biomaterials Privacy-preserving wearables Electrical Muscle Stimulation applications Body-based interfaces Digital fabrication for wearable tech Recent work includes biohybrid devices (UIST'23), 3D-printed haptics (ACM Trans. Hum. Robot Interact. 2025), and women's health data sovereignty (CHI'24). Her publications on social acceptability and privacy in wearables have received multiple awards including the Digital Female Leader Award 2024 . She has collaborated with leading institutions like: Saarland University (HCI Lab) OFFIS - Institute for IT University of Oldenburg TU Munich (FAR Group) Her projects often involve international partnerships and have been exhibited at Dutch Design Week (2024) and ESC Medien Kunst Labor (2024). Marion Koelle's work balances technical innovation with human-centered ethics , seeking to create technologies that empower users while respecting social norms.

• Internet of Things
• Software Engineering
• Machine Learning
• +۵ مورد دیگر

Jorge Eduardo Ibarra Esquer is an Associate Professor in the Department of Computer Science at the School of Engineering, Universidad de Sonora, Mexico. With a publication record spanning nearly two decades from 2006 to 2023, he has established himself as an active researcher in multiple domains of computer science. His work demonstrates consistent collaboration with colleagues Brenda Leticia Flores Ríos, María Angélica Astorga Vargas, and Félix Fernando González-Navarro across numerous publications. His research interests focus on the Internet of Things , Software Engineering , Machine Learning , and Educational Technology . Recent work has explored IoT object categorization, user engagement analysis on social media for scientific dissemination, and software development education during the pandemic. Earlier research examined biosensor modeling, game playing preferences, and driving safety through gamification. His publications appear in reputable venues including IEEE Access, Sensors, and the Colombian Journal of Computing, as well as at national conferences like ENC (Encuentro Nacional de Computación). Analysis of his recent publications (2020-2023) reveals a strategic focus on applying machine learning to practical problems in IoT, educational technology, and social media analytics. His work bridges theoretical computer science with real-world applications, particularly in the Mexican higher education context as evidenced by studies on Facebook engagement at a higher education institution. The interdisciplinary nature of his research spans from healthcare applications (biosensors, physiological monitoring) to educational technology and software engineering practices. While no specific scientific awards are documented in the available publication records, his consistent publication output across multiple high-quality venues demonstrates recognition within his academic community. His research has practical implications for software development education, IoT applications, and human-computer interaction design. Dr. Ibarra Esquer's work shows strong collaborative patterns, particularly with researchers from his home institution. His recent publications suggest active involvement in research teams focusing on educational technology applications during the pandemic, social media analytics for scientific communication, and IoT applications. The continuity of his research program since 2006 indicates sustained scholarly productivity and relevance in evolving technological domains.

Marcus Handteمشاهده پروفایل

پژوهشگر

• Computer Science
• Pervasive Computing
• Sustainable Mobility
• +۳ مورد دیگر

Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.

• Computer Science
• Networking
• Wireless Communications
• +۶ مورد دیگر

Tasneem S. J. Darwish is a researcher affiliated with the University of Technology, Malaysia , specifically within the Faculty of Computing and the Pervasive Computing Research Group . Her work spans multiple domains in Computer Science and Networking , with a focus on Satellite Communications , Wireless Sensor Networks , and Intelligent Transportation Systems . She has contributed extensively to standardization frameworks for LEO satellites in 5G/Beyond networks and developed innovative routing protocols for urban vehicular networks. Notable research trends include: Advancements in LEO Satellite Networking (2021-2025) Integration of Graph Theory for handover frameworks (2022) Applications of Big Data in transportation safety (2016-2019) Energy-efficient WSN Clustering (2015-2017) Emerging Space Network Architectures (2023) Her work addresses critical challenges in Network Management , IP-based Satellite Systems , and HAPS (High Altitude Platform Station) networks, with a strong emphasis on Standardization and Future Communications infrastructure.

• Smart Learning Environments
• Learning Design
• Educational Technology
• +۶ مورد دیگر

Juan I. Asensio-Pérez is a researcher in educational technology and smart learning environments, with a focus on integrating formal and informal learning through innovative tools. He has collaborated extensively with Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis, Alejandra Martínez-Monés, and Eduardo Gómez-Sánchez. Key research areas: Smart Learning Environments, Learning Design, Gamification, Linked Data Applications Notable contributions: Development of tools like Casual Learn for cultural heritage education, GamiTool for MOOC gamification, and Bucket-Server for cross-space learning artifact management Publications span journals like Computers & Education , IEEE Transactions on Learning Technologies , and conferences including EC-TEL and ICALT.

Daniela Nicklasمشاهده پروفایل

استاد

• Data Management
• Sensor-Based Applications
• Mobile Software Systems
• +۵ مورد دیگر

Prof. Dr. Daniela Nicklas is a full professor at the University of Bamberg, Germany, holding the Chair of Mobile Systems within the Faculty of Business Information Systems and Applied Computer Science since 2014. She serves as the degree program representative for B.Sc. Informatik, speaker of the Bamberg Graduate School for Smart City Science (founded November 2024), and ambassador for the Gesellschaft für Informatik. She is also an elected member of the Review Board for Computer Science at the German Research Foundation (DFG). Her research focuses on bridging the gap between physical and digital worlds through data management for sensor-based systems and context-aware applications. Her work emphasizes data stream management technologies applied to smart cities, precision farming, pervasive computing, and situational awareness. She has developed innovative approaches for quality-aware data stream processing, sensor data management, and context modeling. Her research demonstrates how mobile computing systems can transform urban environments and agricultural practices through real-world applications. Her recent publications reveal strong trends in privacy-preserving techniques for mobility data, smart city data quality challenges, anomaly detection in stream data, and IoT device management. These works reflect her ongoing commitment to addressing practical challenges in sensor-based applications while maintaining rigorous academic standards. IBM Exploratory Stream Analytics Innovation Award for 'Data Stream Technology for Future Energy Grid Control' (2009) Prof. Nicklas actively participates in academic service, having chaired numerous conferences including BTW 2025 as General Co-Chair and PerCom 2020 as Program Chair. She serves on the editorial boards of Datenbank-Spektrum and previously for International Journal of Pervasive Computing and Communications. She also serves as a reviewer for multiple funding organizations including DFG, DAAD, and Alexander von Humboldt Foundation. She manages the Smart City Research Lab Bamberg with Professors Marc Redepenning and Astrid Schütz, which serves as a test bed for smart city applications in real-world environments. Her leadership extends to the Living Lab Bamberg infrastructure, which provides a practical environment for exploring smart city research challenges in the wild. She frequently collaborates with international institutions, as evidenced by her invited talks at Osaka University, Nara Institute of Science and Technology, and other international venues in 2024.

• Game Design
• Serious Games
• Therapeutic Games
• +۷ مورد دیگر

Dr. Stephanie Mader is a researcher affiliated with the Cédric Laboratory, focusing on game design, therapeutic games, and digital education. Her work bridges game studies with practical applications in pedagogy and healthcare. Ph.D. in Game Design (2015, National Conservatory of Arts and Crafts - CNAM) Specializes in therapeutic games, procedural rhetoric, and educational game development Collaborates internationally with institutions in France, Switzerland, Italy, and Canada She explores how minimal game design spaces (e.g., Tetris variations) can convey complex discourses through procedural rhetoric, analyzing player habits and styles. Her 2023 studies examine consciousness-raising in gameplay and skills acquisition via escape games. Her publications span 2009-2023, covering themes like Swiss video game history (Smaky era), digital accessibility, and game creation as pedagogical tools. She has presented at ICEC, DiGRA, and Inforsid conferences. A key contribution includes the Player/Game/Therapy Model (2012) for therapeutic game analysis and frameworks for evaluating classroom game creation activities (2022). She demonstrates practical projects like the Virtual Guide Dog and Tetris-20.

• Ambient Intelligence
• Intelligent Systems
• Human-Computer Interaction
• +۳ مورد دیگر

Christian Ressel is a Professor in the Faculty of Communication and Environment at Hochschule Rhein-Waal, where he leads research and teaching in Ambient Intelligent Systems. He is based at the Kamp-Lintfort Campus and is actively involved in advancing intelligent and responsive technological environments. His research focuses on ambient intelligence and intelligent systems, with applications in smart environments, sensor networks, and human-computer interaction. His work bridges communication technologies and environmental design to create adaptive, user-centered systems. While no recent publications or scientific awards are listed in the provided text, his academic focus suggests active engagement in applied research within pervasive computing and interactive systems. He may be involved in interdisciplinary projects connecting engineering, design, and environmental studies. There is no public information available in the provided text regarding students advised, grants received, or laboratory affiliations.

Florian Ottمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Public Displays
• Interactive Displays
• +۹ مورد دیگر

Dr. Florian Ott is a faculty member in the Faculty of Computer Science at Bundeswehr University Munich, specializing in human-computer interaction and collaborative systems. He maintains an active research profile through the Cooperation Systems research group and has established significant projects including CommunityMirrors (semi-public interactive large screens) and CommunityMashup (person-centric data integration for social software). Dr. Ott's research spans multiple domains of interactive systems: Human-Computer Interaction and User Experience design Public and Interactive Display Systems Awareness and Context-aware Computing Sociotechnical Systems Integration Information Ergonomics and Usability Natural User Interfaces Social Computing and Enterprise 2.0 applications His publication history reveals a clear trajectory from foundational work on enterprise social software (wikis, weblogs) toward more sophisticated ambient awareness systems and person-centric mashup technologies. The research shows consistent focus on bridging theoretical HCI principles with practical enterprise applications, particularly in team awareness and knowledge management contexts across diverse settings including corporate environments and high-performance sports. Dr. Ott collaborates extensively within the Cooperation Systems Center Munich ecosystem, working closely with Professor Michael Koch (his doctoral advisor), Alexander Richter, and Peter Lachenmaier. His work demonstrates strong integration between technical development of social software platforms and sociotechnical considerations of their implementation in real-world settings.

Manfred Wojciechowskiمشاهده پروفایل

استاد

• Web Technologies
• Software Engineering
• Ambient Assisted Living (AAL)
• +۳ مورد دیگر

Prof. Dr. Manfred Wojciechowski is a full-time Professor of Computer Science at the Düsseldorf University of Applied Sciences since April 2013. He has served as Vice President for Research and Transfer since November 2020. Research Focus: Development and implementation of Ambient Assisted Living (AAL) technologies, including context-adaptive systems, sensor networks, and non-functional feature implementation in web applications. Teaching Expertise: Web engineering, software development, and assistive technology implementation through modules like Web Engineering , Web Frameworks , and Web Apps . Publication Trends: His work spans web technologies, context-aware systems, and AAL applications, with a focus on context modeling , middleware architectures , and smart environments from 2006-2022.

Elaine M. Huangمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Sustainable Interaction Design
• Social Computing
• +۳ مورد دیگر

Elaine M. Huang is a Visiting Researcher at the Media Computing Group of RWTH Aachen University and a Senior Staff Research Scientist at Motorola Labs in Chicago. She holds a Ph.D. in Computer Science from the Georgia Institute of Technology (2006), advised by Dr. Elizabeth D. Mynatt. Her research focuses on human-computer interaction, particularly in public spaces and sustainable technology practices. Her work examines the real-world usage of large displays and strategies to reduce technology disposability. She has contributed to conferences like Pervasive and CHI, earning recognition for her research on sustainable interaction design. Humboldt Research Fellow Ph.D. from Georgia Tech Senior Staff Research Scientist at Motorola Labs Key publication trends include user behavior analysis, multi-display environments, and eco-conscious design principles. Best Paper Awards Honorable Mention (CHI 2008) Elaine investigates how social relationships shape communication technologies and device usage patterns. Her research combines qualitative field studies with practical design interventions.